Top Data & Analytics Jobs

The role involves building large-scale machine learning systems for user connections on the Roblox platform, focusing on social features and user retention. Responsibilities include applying machine learning to the social graph, mentoring junior engineers, and defining long-term ML strategies.

As a Senior Machine Learning Engineer, you will build innovative ML solutions for search and recommendation systems, leading projects from planning through execution while mentoring junior engineers. You'll tackle diverse technical challenges to improve the Marketplace's content discovery and personalization experiences for users.

As a Machine Learning Engineer III at Chewy, you will lead the development and deployment of machine learning models and data science methodologies to enhance the advertising experience for pet owners, improving product discovery and engagement. You will collaborate with product and engineering leaders to drive solutions in ranking, relevance, and auction dynamics, and also mentor junior scientists while publishing your research in leading AI conferences.

As a Machine Learning Scientist in the Machine Learning Center of Excellence, you will research and develop high-performance machine learning models, collaborate across the firm to deliver impactful solutions, and design scalable data processing pipelines. This role requires expertise in NLP, speech analytics, and deep learning, with a focus on applying machine learning to drive business results.

As a Sr. Machine Learning Engineer, you will lead the development and implementation of models and algorithms, oversee complex data analysis, and manage ML Ops to create innovative solutions for customer products. You will work in a cross-functional environment, ensuring transparency and effective communication with senior management.

As a Machine Learning Engineer, you will conduct data analysis, develop algorithms and models, manage machine learning operations, and enhance user products by addressing complex machine learning challenges in an agile environment. You'll communicate findings to management and influence team standards.

The Machine Learning Engineer at JPMorgan Chase will design, develop and deploy machine learning systems, selecting datasets and preprocessing data while implementing appropriate algorithms. Responsibilities include transforming prototypes to model deployments and ensuring systems meet business analytics requirements.

The Senior Product Delivery Associate will lead the development of a Knowledge Management platform using AI and ML technologies, define the product roadmap, oversee data and project coordination, and collaborate with cross-functional teams to drive innovation and ensure compliance with regulations.

As a Senior Data Scientist on the AI Applied Research team, you will lead research in Generative AI and Machine Learning, focusing on applying innovative concepts to product features. You'll collaborate across teams, mentor junior staff, and contribute to academic publications, all while advancing AI capabilities within the Datadog environment.

As a Machine Learning Strategist, you will drive the development of AI/ML products by integrating technical and business knowledge. Responsibilities include supporting product and business expansion, optimizing communications between technical leads and stakeholders, and assisting leadership in strategy and growth decisions.

As a Technology Audit Manager, you will lead audit engagements for the Chief Data & Analytics Office, manage teams, evaluate internal controls, and provide insights to enhance risk management and governance. The role emphasizes collaboration with stakeholders and adapting to evolving industry standards, while utilizing innovative technologies.

As a Senior Associate Machine Learning Scientist focused on NLP, you will develop state-of-the-art models, collaborate with business and technical teams to deploy solutions, and drive firm-wide machine learning initiatives. The role requires solid expertise in machine learning, deep learning, and NLP, with an emphasis on research and practical implementation.

As a Machine Learning Scientist, you will develop advanced ML models for tasks including NLP, speech analytics, and recommendation systems. You'll work collaboratively with various teams to deploy solutions and drive enterprise-wide initiatives while conducting research and applying innovations in machine learning.

As an Engineering Manager for the Search Relevance team at Zocdoc, you will lead a team of Machine Learning engineers and Data Scientists to deliver scalable software solutions. You will collaborate with product and engineering teams to ensure the successful deployment of features, manage project strategies, and foster an inclusive work culture.

As a Staff Data Scientist at Zocdoc, you'll enhance the core Search product by applying statistical methods and machine learning algorithms. You'll lead and mentor a team of data scientists, driving data-driven initiatives in collaboration with various business units to improve healthcare solutions.

The Data Science PhD Intern at Docugami will research and propose solutions to scientific problems related to AI, NLP, and ML, collaborate with engineering teams, and conduct internal science reviews. They will have a chance to apply their skills in an early-stage startup environment.

The Senior Director of Data will lead a multidisciplinary team focused on data infrastructure, analytics, and machine learning. Responsibilities include overseeing analytics support, developing data strategies, and driving AI initiatives while ensuring data privacy, particularly in regulated industries like healthcare.